研究生: |
黃科竣 Ke-Jun Huang |
---|---|
論文名稱: |
以無跡卡爾曼濾波器為基礎實現超級電容充電狀態、溫度及剩餘壽命之即時估測 UKF-based Estimation of the Ultracapacitor State of Charge (SOC), Temperature and Remaining Useful Life (RUL) |
指導教授: |
姜嘉瑞
Chia-Jui Chiang |
口試委員: |
蔡大翔
Dah-Shyang Tsai 黃仲欽 nono |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 機械工程系 Department of Mechanical Engineering |
論文出版年: | 2016 |
畢業學年度: | 104 |
語文別: | 中文 |
論文頁數: | 135 |
中文關鍵詞: | 超級電容 、即時估測 、擴展型卡爾曼濾波器 、無跡卡爾曼濾波器 、老化模型 |
外文關鍵詞: | Ultracapacitor, Real time estimation, EKF, UKF, Aging Model |
相關次數: | 點閱:425 下載:1 |
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本論文以超級電容(ultracapacitor)之等效電路、熱動態以及老化模型為基礎,應用無跡卡爾曼濾波器(unscented Kalman filter, UKF)建構估測器進行超級電容之充電狀態(state of charge, SOC)、溫度及剩餘壽命(remaining useful life, RUL) 之即時估測。論文中分別使用包含溫度及電壓效應和老化效應之兩組超級電容模型進行以無跡卡爾曼濾波器為基礎之估測器開發, 並分別以不同操作溫度、充放電行程及老化情況進行估測器之實驗驗證。測試結果顯示,在處理系統中非線性的問題上,無跡卡爾曼濾波器較擴展型卡爾曼濾波器(extended Kalman filter, EKF)更為有效。
Simultaneous estimation of the state of charge (SOC), temperature and remaining useful life (RUL) of ultracapacitors is achieved in this thesis by applying the unscented Kalman filter (UKF). In implementing the UKF, two sets of ultracapacitor model are used, including one with the voltage and temperature effects and the other with the aging effect. The proposed estimation strategy is validated via experiments in various thermal conditions, charge/discharge cycles and aging processes. The results indicate that the UKF is more effective than the extended Kalman filter (EKF) in dealing with the nonlinearity in the system.
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